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pro vyhledávání: '"Max Doody"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Reinforcement learning (RL) is widely regarded as divisible into two distinct computational strategies. Model-free learning is a simple RL process in which a value is associated with actions, whereas model-based learning relies on the format
Externí odkaz:
https://doaj.org/article/5f2bb52e00ca4846a17b2cc47fb2fcef
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Reinforcement learning (RL) is widely regarded as divisible into two distinct computational strategies. Model-free learning is a simple RL process in which a value is associated with actions, whereas model-based learning relies on the formation of in
Autor:
Huriye Atilgan, Max Doody, David K Oliver, Thomas M McGrath, Andrew M Shelton, Irene Echeverria-Altuna, Irene Tracey, Vladyslav V Vyazovskiy, Sanjay G Manohar, Adam M Packer
Publikováno v:
Journal of Neurology, Neurosurgery & Psychiatry. 93:e3.10
Objectives/AimsThe claustrum is a sheet-like bilateral brain region whose function remains unknown. We comprehensively examined cases of human claustrum lesions to assess their support for various hypotheses of function. To do so we searched the foll
Publikováno v:
Scientific reports. 12(1)
Reinforcement learning (RL) is widely regarded as divisible into two distinct computational strategies. Model-free learning is a simple RL process in which a value is associated with actions, whereas model-based learning relies on the formation of in